Separate getting a normal attribute and getting __dict__, was having to do too a check for __dict__ on each class (multiple times per getattro call from python) when its not used that often.
- comments to PyObjectPlus.h
- remove unused/commented junk.
- renamed PyDestructor to py_base_dealloc for consistency
- all the PyTypeObject's were still using the sizeof() their class, can use sizeof(PyObjectPlus_Proxy) now which is smaller too.
Use each types dictionary to store attributes PyAttributeDef's so it uses pythons hash lookup (which it was already doing for methods) rather then doing a string lookup on the array each time.
This also means attributes can be found in the type without having to do a dir() on the instance.
- Initialize python types with PyType_Ready, which adds methods to the type dictionary.
- use Pythons get/setattro (uses a python string for the attribute rather then char*). Using basic C strings seems nice but internally python converts them to python strings and discards them for most functions that accept char arrays.
- Method lookups use the PyTypes dictionary (should be faster then Py_FindMethod)
- Renamed __getattr -> py_base_getattro, _getattr -> py_getattro, __repr -> py_base_repr, py_delattro, py_getattro_self etc.
From here is possible to put all the parent classes methods into each python types dictionary to avoid nested lookups (api has 4 levels of lookups in some places), tested this but its not ready yet.
Simple tests for getting a method within a loop show this to be between 0.5 and 3.2x faster then using Py_FindMethod()
Added the method into the PyType so python knows about the methods (its supposed to work this way).
This means in the future the api can use PyType_Ready() to store the methods in the types dictionary.
Python3 removes Py_FindMethod and we should not be using it anyway since its not that efficient.
Use 'const char *' rather then the C++ 'STR_String' type for the attribute identifier of python attributes.
Each attribute and method access from python was allocating and freeing the string.
A simple test with getting an attribute a loop shows this speeds up attribute lookups a bit over 2x.
* Value clamping to min/max is now supported as an option for integer, float
and string attribute (for string clamping=trim to max length)
* Post check function now take PyAttributeDef parameter so that more
generic function can be written.
* Definition of SCA_ILogicBrick::CheckProperty() function to check that
a string attribute contains a valid property name of the parent game object.
* Definition of enum attribute vi KX_PYATTRIBUTE_ENUM... macros.
Enum are handled just like integer but to be totally paranoid, the sizeof()
of the enum member is check at run time to match integer size.
* More bricks updated to use the framework.
The principle is to replace most get/set methods of logic bricks by direct property access.
To make porting of game code easier, the properties have usually the same type and use than
the return values/parameters of the get/set methods.
More details on http://wiki.blender.org/index.php/GameEngineDev/Python_API_Clean_Up
Old methods are still available but will produce deprecation warnings on the console:
"<method> is deprecated, use the <property> property instead"
You can avoid these messages by turning on the "Ignore deprecation warnings" option in Game menu.
PyDoc is updated to include the new properties and display a deprecation warning
for the get/set methods that are being deprecated.
* removed macros that were not used much, some misleading.
* removed error string setting calls that overwrote the error set by PyArg_ParseTuple with a less useful one.
* use python macros Py_RETURN_NONE, Py_RETURN_TRUE, Py_RETURN_FALSE
New Add mode for Ipo actuator
=============================
A new Add button, mutually exclusive with Force button, is available in
the Ipo actuator. When selected, it activates the Add mode that consists
in adding the Ipo curve to the current object situation in world
coordinates, or parent coordinates if the object has a parent. Scale Ipo
curves are multiplied instead of added to the object current scale.
If the local flag is selected, the Ipo curve is added (multiplied) in
the object's local coordinates.
Delta Ipo curves are handled identically to normal Ipo curve and there
is no need to work with Delta Ipo curves provided that you make sure
that the Ipo curve starts from origin. Origin means location 0 for
Location Ipo curve, rotation 0 for Rotation Ipo curve and scale 1 for
Scale Ipo curve.
The "current object situation" means the object's location, rotation
and scale at the start of the Ipo curve. For Loop Stop and Loop End Ipo
actuators, this means at the start of each loop. This initial state is
used as a base during the execution of the Ipo Curve but when the Ipo
curve is restarted (later or immediately in case of Loop mode), the
object current situation at that time is used as the new base.
For reference, here is the exact operation of the Add mode for each
type of Ipo curve (oLoc, oRot, oScale, oMat: object's loc/rot/scale
and orientation matrix at the start of the curve; iLoc, iRot, iScale,
iMat: Ipo curve loc/rot/scale and orientation matrix resulting from
the rotation).
Location
Local=false: newLoc = oLoc+iLoc
Local=true : newLoc = oLoc+oScale*(oMat*iLoc)
Rotation
Local=false: newMat = iMat*oMat
Local=true : newMat = oMat*iMat
Scale
Local=false: newScale = oScale*iScale
Local=true : newScale = oScale*iScale
Add+Local mode is very useful to have dynamic object executing complex
movement relative to their current location/orientation. Of cource,
dynamics should be disabled during the execution of the curve.
Several corrections in state system
===================================
- Object initial state is taken into account when adding object
dynamically
- Fix bug with link count when adding object dynamically
- Fix false on-off detection for Actuator sensor when actuator is
trigged on negative event.
- Fix Parent actuator false activation on negative event
- Loop Ipo curve not restarting at correct frame when start frame is
different from one.
General
=======
- Removal of Damp option in motion actuator (replaced by
Servo control motion).
- No PyDoc at present, will be added soon.
Generalization of the Lvl option
================================
A sensor with the Lvl option selected will always produce an
event at the start of the game or when entering a state or at
object creation. The event will be positive or negative
depending of the sensor condition. A negative pulse makes
sense when used with a NAND controller: it will be converted
into an actuator activation.
Servo control motion
====================
A new variant of the motion actuator allows to control speed
with force. The control if of type "PID" (Propotional, Integral,
Derivate): the force is automatically adapted to achieve the
target speed. All the parameters of the servo controller are
configurable. The result is a great variety of motion style:
anysotropic friction, flying, sliding, pseudo Dloc...
This actuator should be used in preference to Dloc and LinV
as it produces more fluid movements and avoids the collision
problem with Dloc.
LinV : target speed as (X,Y,Z) vector in local or world
coordinates (mostly useful in local coordinates).
Limit: the force can be limited along each axis (in the same
coordinates of LinV). No limitation means that the force
will grow as large as necessary to achieve the target
speed along that axis. Set a max value to limit the
accelaration along an axis (slow start) and set a min
value (negative) to limit the brake force.
P: Proportional coefficient of servo controller, don't set
directly unless you know what you're doing.
I: Integral coefficient of servo controller. Use low value
(<0.1) for slow reaction (sliding), high values (>0.5)
for hard control. The P coefficient will be automatically
set to 60 times the I coefficient (a reasonable value).
D: Derivate coefficient. Leave to 0 unless you know what
you're doing. High values create instability.
Notes: - This actuator works perfectly in zero friction
environment: the PID controller will simulate friction
by applying force as needed.
- This actuator is compatible with simple Drot motion
actuator but not with LinV and Dloc motion.
- (0,0,0) is a valid target speed.
- All parameters are accessible through Python.
Distance constraint actuator
============================
A new variant of the constraint actuator allows to set the
distance and orientation relative to a surface. The controller
uses a ray to detect the surface (or any object) and adapt the
distance and orientation parallel to the surface.
Damp: Time constant (in nb of frames) of distance and
orientation control.
Dist: Select to enable distance control and set target
distance. The object will be position at the given
distance of surface along the ray direction.
Direction: chose a local axis as the ray direction.
Range: length of ray. Objecgt within this distance will be
detected.
N : Select to enable orientation control. The actuator will
change the orientation and the location of the object
so that it is parallel to the surface at the vertical
of the point of contact of the ray.
M/P : Select to enable material detection. Default is property
detection.
Property/Material: name of property/material that the target of
ray must have to be detected. If not set, property/
material filter is disabled and any collisioning object
within range will be detected.
PER : Select to enable persistent operation. Normally the
actuator disables itself automatically if the ray does
not reach a valid target.
time : Maximum activation time of actuator.
0 : unlimited.
>0: number of frames before automatic deactivation.
rotDamp: Time constant (in nb of frame) of orientation control.
0 : use Damp parameter.
>0: use a different time constant for orientation.
Notes: - If neither N nor Dist options are set, the actuator
does not change the position and orientation of the
object; it works as a ray sensor.
- The ray has no "X-ray" capability: if the first object
hit does not have the required property/material, it
returns no hit and the actuator disables itself unless
PER option is enabled.
- This actuator changes the position and orientation but
not the speed of the object. This has an important
implication in a gravity environment: the gravity will
cause the speed to increase although the object seems
to stay still (it is repositioned at each frame).
The gravity must be compensated in one way or another.
the new servo control motion actuator is the simplest
way: set the target speed along the ray axis to 0
and the servo control will automatically compensate
the gravity.
- This actuator changes the orientation of the object
and will conflict with Drot motion unless it is
placed BEFORE the Drot motion actuator (the order of
actuator is important)
- All parameters are accessible through Python.
Orientation constraint
======================
A new variant of the constraint actuator allows to align an
object axis along a global direction.
Damp : Time constant (in nb of frames) of orientation control.
X,Y,Z: Global coordinates of reference direction.
time : Maximum activation time of actuator.
0 : unlimited.
>0: number of frames before automatic deactivation.
Notes: - (X,Y,Z) = (0,0,0) is not a valid direction
- This actuator changes the orientation of the object
and will conflict with Drot motion unless it is placed
BEFORE the Drot motion actuator (the order of
actuator is important).
- This actuator doesn't change the location and speed.
It is compatible with gravity.
- All parameters are accessible through Python.
Actuator sensor
===============
This sensor detects the activation and deactivation of actuators
of the same object. The sensor generates a positive pulse when
the corresponding sensor is activated and a negative pulse when
it is deactivated (the contrary if the Inv option is selected).
This is mostly useful to chain actions and to detect the loss of
contact of the distance motion actuator.
Notes: - Actuators are disabled at the start of the game; if you
want to detect the On-Off transition of an actuator
after it has been activated at least once, unselect the
Lvl and Inv options and use a NAND controller.
- Some actuators deactivates themselves immediately after
being activated. The sensor detects this situation as
an On-Off transition.
- The actuator name can be set through Python.
